Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
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'20
'25
Papers (including subtopics)
Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs
COLING 2025
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention
ACL 2025
Bridging the LLM Accessibility Divide? Performance, Fairness, and Cost of Closed versus Open LLMs for Automated Essay Scoring
ACL 2025
Bridging the Semantic Granularity Gap Between Text and Frame Representations for Partially Relevant Video Retrieval
AAAI 2025
Bridging the Sky and Ground: Towards View-Invariant Feature Learning for Aerial-Ground Person Re-Identification
ICCV 2025
Bridging the User-side Knowledge Gap in Knowledge-aware Recommendations with Large Language Models
AAAI 2025
Bridging the Vision-Brain Gap with an Uncertainty-Aware Blur Prior
CVPR 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
AAAI 2025
BridG MT: Enhancing LLMs’ Machine Translation Capabilities with Sentence Bridging and Gradual MT
ACL 2025
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression
NAACL 2025
BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
ACL 2025
Bright-NeRF: Brightening Neural Radiance Field with Color Restoration from Low-Light RAW Images
AAAI 2025
Bringing CLIP to the Clinic: Dynamic Soft Labels and Negation-Aware Learning for Medical Analysis
CVPR 2025
Bringing Ladin to FLORES+
EMNLP 2025
Bringing Pedagogy into Focus: Evaluating Virtual Teaching Assistants’ Question-Answering in Asynchronous Learning Environments
EMNLP 2025
Bring Your Own Knowledge: A Survey of Methods for LLM Knowledge Expansion
ACL 2025
Browsing Like Human: A Multimodal Web Agent with Experiential Fast-and-Slow Thinking
ACL 2025
BSAFusion: A Bidirectional Stepwise Feature Alignment Network for Unaligned Medical Image Fusion
AAAI 2025
BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach
ICML 2025
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
ICLR 2025
BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP
ICLR 2025
BuDDIE: A Business Document Dataset for Multi-task Information Extraction
COLING 2025
Budget Allocation Exploiting Label Correlation between Instances
UAI 2025
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
ICLR 2025
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
AISTATS 2025